Selected Intern's Day-to-day Responsibilities Include Identify potential customer segments and industries Assist in building and updating lead databases Help prepare sales decks, email templates, and promotional material Update customer interactions and campaign responses in CRM tools (like HubSpot, Salesforce) Monitor campaign performance metrics (open rates, click rates, conversions) Schedule meetings, take notes, and follow up on action items Respond to basic inquiries from prospects Help qualify leads before passing to the sales team About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech. Show more Show less
Data Scientist – Deep Learning (Financial Services Domain) We are seeking a highly skilled and motivated Data Scientist with a strong background in deep learning and quantitative analysis to join our advanced AI team. This role is ideal for professionals who are passionate about applying cutting-edge machine learning techniques to solve complex problems in the financial services domain. Key Responsibilities: Design, implement, and deploy deep learning models for financial use cases, including stock price prediction, risk scoring, and algorithmic trading. Optimize models for performance and scalability through techniques such as quantization, pruning, and efficient architecture design. Rigorously evaluate models using appropriate metrics, validation techniques, and hyperparameter tuning, while maintaining robust experiment tracking practices. Deploy and maintain machine learning workflows using MLOps best practices on cloud platforms (AWS preferred). Conduct exploratory data analysis (EDA), feature engineering, and time-series analysis on structured and unstructured financial datasets. Apply advanced pattern recognition techniques to derive insights and predictive signals from data. Stay abreast of the latest research in deep learning, including advancements in LLMs, attention mechanisms, and financial NLP. Collaborate with cross-functional teams, including quantitative analysts, fellow data scientists, and product managers, to translate business requirements into technical solutions. Ensure high-quality code, documentation, and backtesting processes. Required Qualifications: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related discipline from a reputed institute (IITs or BITS preferred). 5-7 years of experience in developing and deploying deep learning or AI models, ideally within the financial services industry. Hands-on experience with PyTorch or TensorFlow , and Python data libraries such as pandas, NumPy, and scikit-learn . Strong background in predictive modeling, anomaly detection, and pattern recognition using financial data. Proficient in Python or PySpark for large-scale data processing. Ability to work with diverse financial datasets, including stock prices, order books, financial statements, and alternative data sources. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure) for model training, deployment, and scaling. Familiarity with ML pipelines, Docker, and modern MLOps frameworks. Exposure to Natural Language Processing in finance (e.g., sentiment analysis, earnings call transcripts). Working knowledge of core financial concepts such as P&L, return metrics, technical indicators, and risk measurement.
About the job: We are seeking a proactive and results-driven Hardware Sales Executive to drive sales of B2B wearbles, AI enabled devices and related products. The role involves identifying new business opportunities, managing client relationships, and delivering products to meet customer needs. Key Responsibilities: 1. Identify and engage prospective customers through calls, field visits, and networking. 2. Understand client requirements and recommend suitable hardware solutions. 3. Develop and maintain relationships with key clients, partners, and vendors. 4. Prepare and deliver sales presentations, quotations, and product demos. 5. Negotiate contracts and close sales deals to achieve monthly/quarterly targets. 6. Stay updated on new hardware technologies and market trends. 7. Maintain accurate sales records and provide regular reports to management. 8. Collaborate with technical and support teams to ensure smooth delivery and post-sales service. Qualifications & Skills: 1. Bachelor's degree in Business, IT, Engineering, or related field. 2. 1+ years of experience in B2B hardware sales. 3. Excellent communication, negotiation, and interpersonal skills. 4. Proven ability to meet and exceed sales targets. 5. Proficiency in MS Office and CRM software. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Mumbai only Salary: ₹ 4,50,000 - 5,20,000 /year Experience: 1 year(s) Deadline: 2025-08-29 23:59:59 Other perks: 5 days a week, Health Insurance Skills required: MS-PowerPoint, B2B Sales and English Proficiency (Spoken) About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech.
What are we looking for? As an Events Coordinator, you will play a key role in planning, organizing, and executing a variety of events, ranging from corporate meetings and conferences to social gatherings. Your responsibilities will include coordinating logistical details, liaising with vendors, managing timelines, and ensuring a seamless and successful event experience. Hunger to learn, perform & contribute, Smart in approach, great communication skills, doesn’t hesitate to speak up his / her mind, will not be “yes sir”, acts with speed and very quality conscious. Responsibilities Event Planning: Collaborate with clients or internal stakeholders to understand event objectives, themes, and requirements. Develop comprehensive event plans, including budgets, timelines, and logistics. Logistics Coordination Arrange and coordinate event logistics such as venue selection, catering, audiovisual equipment, transportation, and accommodation. Ensure all necessary permits and approvals are obtained. Vendor Management Identify, negotiate with, and manage relationships with vendors, suppliers, and contractors. Obtain quotes and make decisions based on cost-effectiveness and quality. Communication And Coordination Serve as the main point of contact for clients, vendors, and internal teams. Communicate effectively to ensure everyone involved is informed and aligned on event details. Timeline Management Create and manage detailed timelines to ensure all aspects of the event are executed seamlessly. Anticipate and address potential issues or challenges. On-Site Coordination Oversee the setup, execution, and breakdown of events. Manage on-site staff, volunteers, and vendors to ensure everything runs smoothly. Budget Management Develop and adhere to event budgets. Track expenses and provide regular financial updates. Post-Event Evaluation Conduct post-event evaluations to assess the success of the event. Gather feedback from clients, attendees, and stakeholders for continuous improvement. About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech.
You are a highly skilled Senior Dell Boomi Integration Specialist responsible for leading the design, development, and maintenance of robust integration solutions across cloud, on-premise, and hybrid environments. Your role includes extensive experience in Dell Boomi AtomSphere, EDI integrations, API Management, and Master Data Hub (MDH), with hands-on expertise in deployment, monitoring, and process optimization. Your key responsibilities involve designing, developing, and deploying end-to-end integration processes, leading B2B/EDI integration projects, managing environments and deployments, configuring API Management solutions, building data mappings and transformations, establishing monitoring and alerting systems, ensuring data governance and compliance, collaborating with cross-functional teams, and providing support and maintenance. Your qualifications should include 8-10 years of overall experience with at least 6-7 years in Dell Boomi integration, Dell Boomi Professional Developer/API Management/EDI certifications, proven ability to handle large-scale integration projects, strong analytical and problem-solving skills, and client-facing expertise. Experience integrating Salesforce and SAP platforms using Dell Boomi is essential for this role. Your required skills and expertise encompass Dell Boomi AtomSphere, MDH, and API Management, B2B/EDI Integration, Environment and Deployment Management, Security & Access Management, Monitoring & Logging, Scheduling & Queuing, Data Governance & Compliance, REST/SOAP APIs, JSON, XML, SQL, and cloud/on-premise integration. Additionally, scripting experience in JavaScript, Groovy, or Python for custom Boomi functions is beneficial.,
Full Stack Developer – AI Product Team 📍 Location: Mumbai | Onsite/Hybrid 🕒 Type: Full-time | Fresh Talent Welcome About Network Science We’re not just building software. We’re building the Operating System for the Enterprise AI World . At Network Science , we are on a mission to help the world’s leading enterprises adopt and scale AI — across every business function. With a growing presence in London, Mumbai, Dubai, and the US, we’re bringing real AI into production for clients who aren’t here to experiment — they’re here to win. We’re looking for a Full Stack Developer who wants to move fast, learn faster, and code like the world depends on it. If you're fresh, fierce, and ready to hustle , this is your shot. What You’ll Do Build the next-gen productivity suite for AI-first enterprises (NS Office) Work across the stack — frontend (React/Next.js), backend (Node.js, Python), databases (MongoDB, PostgreSQL), and cloud deployment (AWS, GCP) Integrate OpenAI and other LLM APIs into real-world products Collaborate with product thinkers, designers, and AI scientists to ship fast, test hard, and iterate even faster Write clean, scalable code and own your builds all the way to production Break things. Fix them. Learn. Repeat. Pull late nights with purpose — because you're building something that matters You’re a Great Fit If You... Have built side projects, apps, or tools that you’re proud of Know your way around JavaScript, Python, HTML/CSS, Git , and at least one modern frontend framework (React, Vue, etc.) Have played with or integrated AI/ML APIs (OpenAI, Hugging Face, etc.) Love startups, thrive under chaos, and hate sitting idle Want to be part of something bigger than just writing code Bonus Points Experience with Docker, CI/CD, or Firebase You've shipped something (public or internal) people actually use You’ve worked with LLMs or GenAI before You’ve contributed to open source or written about your learnings online Why This Role is Different You’ll ship real product , not PowerPoint decks You’ll be part of the founding build team of NS Office — the AI workspace for enterprises You’ll learn more in 1 year than most do in 3 You’ll work directly with founders, engineers, and product heads You’ll have the runway to grow into anything — lead engineer, product owner, AI architect Don’t Apply If… You want a 9-to-5 You need step-by-step instructions You’re afraid of being uncomfortable
You are a dynamic Presales and Solutioning Associate in the AI space, responsible for bridging the gap between sales teams, tech teams, and clients. Your role is crucial in ensuring the smooth integration of AI solutions into client operations, directly contributing to growth and market expansion strategies. In the role of Presales Support, you collaborate with sales teams to understand client requirements and develop tailored AI solutions. You assist in creating compelling proposals, presentations, and demos that highlight the value of our AI solutions to potential clients. Regarding Tech Solutioning, you work closely with partner tech teams to translate client needs into actionable technical requirements and solution designs. You ensure alignment between client expectations and our technical capabilities throughout the solutioning process. As the primary point of contact for clients during presales activities, you address queries, provide technical insights, and build strong relationships to understand their evolving needs and feedback on our solutions. You also contribute to the development and execution of strategic initiatives aimed at expanding our AI solution accelerators. This includes conducting market research, competitive analysis, and identifying growth opportunities and industry trends. Your collaboration and team support skills are essential as you liaise with internal teams like sales, product development, and marketing to ensure coordinated efforts in delivering solutions. You provide support across various functions to achieve collective goals, enhance operational efficiency, and share the latest AI tech trends with the larger team. To qualify for this role, you need a Bachelor's degree in computer science, engineering, or a related field, along with a Post Graduation in Business Administration. You should have a strong understanding of AI technologies, their applications, and market trends. Excellent communication skills, the ability to work under pressure, adaptability, and proficiency in office software and communication tools are necessary. Being a team player with a proactive mindset, a commitment to quality, exceptional organizational and time-management skills are vital for success in this role.,
Job Title: Full Stack Developer – AI Product Engineering Location: Mumbai Full-time | Fresh Talent Welcome | Hustle Required About Network Science At Network Science, we’re not building features — we’re building the future. We’re the company behind the Operating System for the Enterprise AI World — helping the world's top businesses adopt and scale AI across every function, product, and decision. We’re working on a portfolio of AI products — from productivity tools and agent copilots to intelligent platforms that solve complex business problems at scale. As a Full Stack Developer, you’ll be part of the founding build team — and your first mission will be to work on a groundbreaking AI-powered application that blends real-time data processing, intuitive UX, and seamless AI integration. This is just Project 1 of many. You’ll be trusted to take on end-to-end responsibility across multiple builds. What You’ll Do Build full-stack AI-driven products — both internal and customer-facing Work closely with Product Managers, Designers, and AI Scientists to translate ideas into fast, functional, beautiful applications Build intuitive frontends with React.js / Next.js Develop secure and scalable backend systems with Node.js / Express (or Django/FastAPI) Integrate AI/ML APIs (OpenAI, Whisper, Google Translate, Coqui, etc.) for core platform features Contribute to API design, database architecture, and system scaling strategies Deploy applications to cloud platforms using modern DevOps practices Iterate rapidly, fix bugs proactively, and own your builds end-to-end Your Toolkit (Must-Have Skills) Frontend: HTML, CSS, JavaScript — strong fundamentals React.js or Next.js State management using Redux or Context API Basic UX/UI sensibility for building intuitive user-facing interfaces Backend: Node.js + Express (or Django / FastAPI) REST / GraphQL APIs Auth systems with JWT / OAuth Databases & Storage: PostgreSQL / MySQL / MongoDB AWS S3 or GCP Cloud Storage File management and user-session data persistence AI/ML Integration: Experience integrating AI APIs: OpenAI, Whisper, Google Translate, Coqui TTS, PaddleOCR, etc. Ability to work with ML outputs and feed them into usable features (text/audio/image) DevOps & Infra: Git / GitHub Deploying to Vercel, Netlify, Heroku, Render, AWS, or GCP Docker for containerizing services CI/CD pipelines Performance & Scaling: Redis / Celery / RabbitMQ for task queues Caching, job orchestration, and cloud GPU usage (bonus) You’re Perfect for This If You... Have a builder mindset — you care about what’s being built, not just what you’re told Are ready to put in long hours to learn, ship, fail, and win Have built cool stuff on your own (projects, hackathons, side gigs — all count) Can own end-to-end features and keep iterating until they work beautifully Want to be part of a mission-first, fast-paced company creating real impact with AI Bonus Points For Experience in AI/ML projects — especially around GenAI or LLMs Building or contributing to production-scale platforms Understanding video, image, or audio processing pipelines Clear documentation habits and team-first attitude Final Word This isn’t a code-monkey role. This is your chance to be the engineer who ships products that change how people work, learn, and communicate with AI. You’ll be thrown into ambiguity. You’ll build fast. You’ll break things. But you’ll also be part of something unforgettable.
Network Science seeks exceptional Copilot experts serving as internal wizards who bridge technology and business needs. You'll empower teams across the organization to leverage M365 Copilot, (help) build custom agents, and rapidly prototype AI solutions that transform how organization works. This is a forward deployed position with our eseetmed client. Technical Skills RequiredCore Technical Competencies · M365 Copilot Mastery - Deep understanding of Copilot capabilities across all M365 apps (Word, Excel, PowerPoint, Teams, Outlook, Loop) · Agent Development - Hands-on experience building Copilot agents, custom GPTs, or similar conversational AI tools · Prompt Engineering - Expert-level ability to craft, optimize, and teach effective prompting strategies · Low-Code/No-Code Platforms - Proficiency in Power Platform (Power Apps, Power Automate, Power Virtual Agents) · API Integration - Understanding of Graph API, connectors, and data integration patterns · AI Fundamentals - Solid grasp of LLMs, RAG systems, semantic search, and AI limitations/best practices · Rapid Prototyping Tools - Experience with Figma, Sketch, or similar for quick mockups and workflows Nice-to-Have Technical Skills · Basic Python/JavaScript for custom solutions · Experience with Azure AI Services · Knowledge of data governance and security in AI contexts · Familiarity with SharePoint/Teams development Soft Skills RequiredEssential Human Skills · Business Acumen - Ability to quickly understand business processes and translate them into technical solutions · Active Listening - Exceptional ability to hear what users really need, not just what they say they want · Teaching & Enablement - Natural educator who can make complex concepts accessible to non-technical users · Collaborative Mindset - Thrives in pair programming/designing sessions; ego-free approach to problem-solving · Communication - Can explain AI concepts to executives and write clear, user-friendly documentation · Curiosity & Learning Agility - Stays current with rapidly evolving AI landscape; experiments constantly · Empathy - Understands user frustration with technology and designs human-centered solutions · Time Management - Can balance multiple projects and know when "good enough" beats perfect Working Style · Comfortable with ambiguity and rapid iteration · Self-starter who can work independently but loves collaboration · Patient with users at all technical levels · Brings positive energy that makes others want to work with them · Can say "no" diplomatically when requests aren't feasible Key Responsibilities Daily Activities · Host "Copilot Clinics" - open office hours for prompt assistance · Conduct discovery sessions with teams to identify AI opportunities · Build proof-of-concepts in 2-3 day sprints with users · Create and maintain prompt libraries and best practices documentation · Train teams on effective Copilot usage and prompt engineering · Develop custom agents for specific departmental needs Strategic Contributions · Identify patterns in user needs to propose platform-wide solutions · Create reusable templates and frameworks · Measure and report on AI adoption and impact metrics · Stay ahead of M365 updates and communicate changes to organization · Build internal community of AI champions Ideal Background Experience Profile · 2-5+ years in roles combining technical and business analysis · Previous experience in innovation labs, digital transformation, or internal consulting · Track record of successful user adoption initiatives · Background could include - Solution Architecture, Business Analysis, Technical Training, Innovation Management, or Product Management Personality Indicators · Gets excited about making others' jobs easier · Naturally experiments with new tools in personal time · Can explain complex topics using simple analogies · Comfortable being the "dumbest person in the room" when learning · Views constraints as creative challenges, not roadblocks Success Metrics · User satisfaction scores from assisted teams · Number of successful prototypes deployed · Adoption rates of created solutions · Time-to-value for new AI implementations · Knowledge transfer effectiveness (users becoming self-sufficient) The ideal candidate doesn't need to check every box but should be excited about growing into areas where they're less experienced. We're looking for learners who can become leaders in AI-powered productivity.
Architect Lead – DevOps & Solutions Architecture Location: Mumbai (Onsite) | Full-time About Us At Network Science , we’re building the Operating System for the Enterprise AI World — a platform-first approach to scale AI adoption across global enterprises. Our cloud-based SaaS platforms power real-world AI deployments across sectors like finance, retail, manufacturing, and sustainability. We are now looking for an Architect Lead (DevOps & Solutions Architecture) to take full ownership of the technical foundation of our AI products — from infrastructure and security to scalability and reliability. This is a mission-critical leadership role at the heart of everything we’re building. What You’ll Do Own the end-to-end architecture of our cloud-based SaaS platform and lead the evolution of its infrastructure with scalability, performance, and security at the core. Be hands-on with AWS , automating infrastructure using Infrastructure-as-Code, ensuring high availability , and optimizing cloud usage and costs. Build and manage CI/CD pipelines , implement best practices for automated testing, versioning, and secure delivery workflows. Partner with engineering, product, and design teams to translate product goals into robust, maintainable, and secure system designs . Lead and implement our security strategy , ensuring compliance with industry standards (SOC2, GDPR, etc.). Set up monitoring, alerting, and disaster recovery plans that ensure platform reliability and business continuity. Mentor engineers on architecture, DevOps, and modern development workflows; help instill a culture of automation, ownership, and quality. Continuously evaluate new tools, technologies, and frameworks to ensure we stay ahead of the curve. Must-Have Skills 7+ years of experience in cloud architecture , DevOps, and SaaS infrastructure — with hands-on AWS experience . Strong command over containerization tools: Docker and Kubernetes . Proficiency with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation . Solid experience in setting up and maintaining CI/CD pipelines and release workflows. Strong understanding of cloud networking, VPC design, IAM, and core security practices . Prior experience implementing monitoring , alerting , disaster recovery , and backup strategies. Demonstrated ability to make sound architectural decisions under time and scale constraints. Excellent problem-solving and communication skills. Willingness to work onsite and collaborate closely across product and engineering teams. Good-to-Have Skills Experience with cost optimization in AWS Familiarity with SOC2, ISO 27001, or GDPR compliance frameworks Exposure to multi-cloud or hybrid cloud architectures Knowledge of serverless design patterns (e.g., AWS Lambda, Fargate) Experience with observability platforms (e.g., Prometheus, Grafana, Datadog, New Relic) Familiarity with incident management and SRE practices Prior experience in startups or fast-paced product environments Ability to contribute to strategic build-vs-buy decisions Ready to Apply? If you’re someone who thrives in high-ownership, high-impact roles — and if you believe infrastructure is not just a backbone, but a superpower — then we want to hear from you.